class_docstr: This class ensures a unique API is used to access training, validation and test splits
  of any dataset.
  
  Args:
      n_classes (int): the number of classes.
code: def __init__(self, n_classes):
      self._n_classes = n_classes
  
file_path: pykale/kale/loaddata/dataset_access.py
imports: import torch
  import torch.utils.data
label_desc: Use image node_id 1 to create a new DatasetAccess object  with example: obj = DatasetAccess(n_classes)